TENNER: intrusion detection models for industrial networks based on ensemble learning (2024)
Dalarmelina, Nicole do Vale 
; Arora, Pallavi; Rocha Filho, Geraldo Pereira ; Meneguette, Rodolfo Ipolito ; Teixeira, Marcio Andrey
Fonte: Journal of Surveillance, Security and Safety. Unidade: ICMC
Assuntos: INTERNET, APRENDIZADO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, CLUSTERS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DALARMELINA, Nicole do Vale et al. TENNER: intrusion detection models for industrial networks based on ensemble learning. Journal of Surveillance, Security and Safety, v. 5, p. 80-94, 2024Tradução . . Disponível em: https://doi.org/10.20517/jsss.2023.51. Acesso em: 03 dez. 2025.APA
Dalarmelina, N. do V., Arora, P., Rocha Filho, G. P., Meneguette, R. I., & Teixeira, M. A. (2024). TENNER: intrusion detection models for industrial networks based on ensemble learning. Journal of Surveillance, Security and Safety, 5, 80-94. doi:10.20517/jsss.2023.51NLM
Dalarmelina N do V, Arora P, Rocha Filho GP, Meneguette RI, Teixeira MA. TENNER: intrusion detection models for industrial networks based on ensemble learning [Internet]. Journal of Surveillance, Security and Safety. 2024 ; 5 80-94.[citado 2025 dez. 03 ] Available from: https://doi.org/10.20517/jsss.2023.51Vancouver
Dalarmelina N do V, Arora P, Rocha Filho GP, Meneguette RI, Teixeira MA. TENNER: intrusion detection models for industrial networks based on ensemble learning [Internet]. Journal of Surveillance, Security and Safety. 2024 ; 5 80-94.[citado 2025 dez. 03 ] Available from: https://doi.org/10.20517/jsss.2023.51
